A Deep Convolutional Encoder–Decoder–Restorer Architecture for Image Deblurring

The accuracy of many computer vision tasks is reduced by blurred images, so deblur is important. More details of the image can be captured by a common multi-stage network, but the computational complexity of this method is higher compared with a single-stage network. However, a single-stage network...

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Vydáno v:	Neural processing letters Ročník 56; číslo 1; s. 27
Hlavní autoři:	Fan, Yiqing, Hong, Chaoqun, Zeng, Guanghui, Liu, Lijuan
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York Springer US 11.02.2024 Springer Nature B.V
Témata:	Accuracy Algorithms Artificial Intelligence Coders Complex Systems Computational Intelligence Computer Science Computer vision Datasets Methods Neural networks Deep learning Encoder–decoder–restorer architecture Image deblurring Multi-Scale
ISSN:	1573-773X, 1370-4621, 1573-773X
On-line přístup:	Získat plný text
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